scholarly journals Assessment of Genetic Diversity in Wild Rice of Eastern India Using SSR Markers

2017 ◽  
Vol 9 (6) ◽  
pp. 239
Author(s):  
Rosalin Swain ◽  
Shibani Mohapatra ◽  
Pritesh Roy ◽  
D. Swain ◽  
O. N. Singh ◽  
...  

Wild rice is an important reservoir of valuable and useful genes. O. rufipogon and O. nivara contain AA genome andare the progenitor of cultivated rice which makes them compatible with the cultivated rice for cross breeding to incorporate the genes for stress tolerance. SSR markers were used to assess the extent of diversity of 26 accessions of O. rufipogon and O. nivara collected from different districts of Orissa, West Bengal and Tripura. The Principal Co-ordinate Analysis (PCA) clearly indicates the clustering pattern and inter-relationships among different accessions. Mantel Z-testexhibitedacorrelation between cophenetic matrix and Jaccards’ similarity coefficient in 26 accessions and 4 CRRI released varieties using 54 STMS (SSR) markers which showed significant correlation (r = 0.8249) between them. O. nivara accessions and O. rufipogon accessions were grouped different clusters. O. nivara collected from Midnapore is placed in different cluster. It is concluded that the SSR markers used were found to be equally informative for the genetic diversity study between and among the accessions of two wild species such as O. rufipogon and O. nivara collected from different locations of Orissa, West Bengal & Tripura. Highlysignificant morphological variations were also observed among O. nivara and O. rufipogon accessions.

2021 ◽  
Vol 53 (5) ◽  
Author(s):  
Ayesha Bibi ◽  
Malik Ashiq Rabbani ◽  
Khatiba Bibi ◽  
Muneeba Fida Abbasi ◽  
Kehkishan Akbar

2020 ◽  
Vol 50 (7) ◽  
Author(s):  
Mauricio Sérgio Ferreira Soares da Silva Junior ◽  
Alberto Alexandre de Sousa Borges ◽  
Sárvia Rafaelly Nunes Santos ◽  
Vanessa Gomes de Moura ◽  
Geice Ribeiro da Silvana ◽  
...  

ABSTRACT: Poultry meat is a major source of animal protein in the world. Research indicates a high inbreeding rate derived from a relative absence of heterozygous subpopulations of chicken from different suppliers. Molecular markers can provide information for the genetic basis of chicken consumed in rural areas and help establishing a chicken database for product quality and warranty. The bibliometric research, comprises between 1994 and 2018, from five previously selected databases: Google Scholar, PubMed, ScienceDirect, Scopus and Web of Science, using the following descriptors: ‘microsatellites’, ‘SSR’, ‘ISSR’, ‘genetic variability’ and ‘genetic diversity’, all of them coupled to ‘chicken’ and/or ‘birds’ results in 66 scientific publications. The publications were then categorized according to their titles to the use of ISSR or SSR markers. They were also addressed by countries according first author cited. The publications data appointed that countries with the height production of poultry meat and hens are the most interested in the genetic diversity study of these species. The SSR markers, due to its more specific characteristic, are more frequently applied to genetic diversity assignment, compared to ISSR.


Diversity ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 44
Author(s):  
Swati Shrestha ◽  
Gourav Sharma ◽  
Shandrea Stallworth ◽  
Edilberto D. Redona ◽  
Te Ming Tseng

Increasing agricultural productivity is indispensable to meet future food demand. Crop improvement programs rely heavily on genetic diversity. The success of weeds in the ecosystem can be attributed to genetic diversity and plasticity. Weedy rice, a major weed of rice, has diverse morphology and phenology, implying wide genetic diversity. Study was conducted to genotype weedy rice accessions (n = 54) previously phenotyped for herbicide tolerance and allelopathic potential using 30 SSR markers. Cultivated rice (CL163, REX) and allelopathic rice (RONDO, PI312777, PI338047) were also included in the study. Nei’s genetic diversity among weedy rice (0.45) was found to be higher than cultivated rice (0.24) but less than allelopathic rice (0.56). The genetic relationship and population structure based on herbicide tolerance and allelopathic potential were evaluated. Herbicide-tolerant and susceptible accessions formed distinct clusters in the dendrogram, indicating their genetic variation, whereas no distinction was observed between allelopathic and non-allelopathic weedy rice accessions. Weedy rice accession B2, which was previously reported to have high allelopathy and herbicide tolerance, was genetically distinct from other weedy rice. Results from the study will help leverage weedy rice for rice improvement programs as both rice and weedy rice are closely related, thus having a low breeding barrier.


Author(s):  
Swati Shrestha ◽  
Gourav Sharma ◽  
Shandrea Stallworth ◽  
E. D. Redoña ◽  
Te Ming Tseng

Increasing agricultural productivity is indispensable to meet future food demand. Crop im-provement programs rely heavily on genetic diversity. The success of weeds in the ecosystem can be attributed to genetic diversity and plasticity. Weedy rice, a major weed of rice, has diverse morphology and phenology, implying wide genetic diversity. Study was conducted to genotype weedy rice accessions (n =54) previously phenotyped for herbicide tolerance and allelopathic potential using 30 SSR markers. Cultivated rice (CL163, REX) and allelopathic rice (RONDO, PI312777, PI338047) were also included in the study. Nei’s genetic diversity among weedy rice (0.45) was found to be higher than cultivated rice (0.24) but less than allelopathic rice (0.56). The genetic relationship and population structure based on herbicide tolerance and allelopathic po-tential were evaluated. Herbicide-tolerant and susceptible accessions formed distinct clusters in the dendrogram, indicating their genetic variation, whereas no distinction was observed between allelopathic and non-allelopathic weedy rice accessions. Weedy rice accession B2, which was previously reported to have high allelopathy and herbicide tolerance, was genetically distinct from other weedy rice. Results from the study will help leverage weedy rice for rice improvement programs as both rice and weedy rice are closely related, thus having a low breeding barrier.


1999 ◽  
Vol 65 (4) ◽  
pp. 520-526 ◽  
Author(s):  
Uthairat Na-Nakorn ◽  
Nobuhiko Taniguchi ◽  
Estu Nugroho ◽  
Shingo Seki ◽  
Wongpathom Kamonrat

2006 ◽  
Vol 34 (12) ◽  
pp. 868-874 ◽  
Author(s):  
Jianhua Huang ◽  
Muwang Li ◽  
Yong Zhang ◽  
Wenbin Liu ◽  
Minghui Li ◽  
...  

Plants ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 398
Author(s):  
Daiki Toyomoto ◽  
Masato Uemura ◽  
Satoru Taura ◽  
Tadashi Sato ◽  
Robert Henry ◽  
...  

Wild rice relatives having the same AA genome as domesticated rice (Oryza sativa) comprise the primary gene pool for rice genetic improvement. Among them, O. meridionalis and O. rufipogon are found in the northern part of Australia. Three Australian wild rice strains, Jpn1 (O. rufipogon), Jpn2, and W1297 (O. meridionalis), and one cultivated rice cultivar Taichung 65 (T65) were used in this study. A recurrent backcrossing strategy was adopted to produce chromosomal segment substitution lines (CSSLs) carrying chromosomal segments from wild relatives and used for trait evaluation and genetic analysis. The segregation of the DNA marker RM136 locus on chromosome 6 was found to be highly distorted, and a recessive lethal gene causing abortion at the seed developmental stage was shown to be located between two DNA markers, KGC6_10.09 and KGC6_22.19 on chromosome 6 of W1297. We name this gene as SEED DEVELOPMENT 1 (gene symbol: SDV1). O. sativa is thought to share the functional dominant allele Sdv1-s (s for sativa), and O. meridionalis is thought to share the recessive abortive allele sdv1-m (m for meridionalis). Though carrying the sdv1-m allele, the O. meridionalis accessions can self-fertilize and bear seeds. We speculate that the SDV1 gene may have been duplicated before the divergence between O. meridionalis and the other AA genome Oryza species, and that O. meridionalis has lost the function of the SDV1 gene and has kept the function of another putative gene named SDV2.


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